[whatmodel.sh](../../README.md) / Qwen2.5 Coder 3B Instruct
# Qwen2.5 Coder 3B Instruct
Alibaba · released 2024-11 · 3.09B params · qwen-research
**score 48.6** ±1.2 · #399 of 732 · from 9 benchmark results across 2 sources
Score within the [LMArena (text)](https://whatmodel.sh/?set=lmarena-text&score=set) comparison set only.
## What it's good at
● marks Qwen2.5 Coder 3B Instruct among every model on that task or test, worst to best.
task vs the others rank counts tests
coding ▁▁▁▃▅●█▇▅▄▃▁ #313 of 469 95% 8
coding · #313 of 469 · 95% of its score
Beats [Solar Open 100B (102B-A12B)](solar-open-100b.md), [Qwen3-VL 30B-A3B Instruct](qwen3-vl-30b-a3b-instruct.md), [Qwen3 4B Instruct 2507](qwen3-4b-instruct-2507.md) here, though they rank higher overall. Trails [DeepSeek LLM 67B Chat](deepseek-llm-67b-chat.md), [WizardLM 70B V1.0](wizardlm-70b-v1-0.md), [Yi 1.5 9B Chat](yi-1-5-9b-chat.md) here, though they rank lower overall.
test result vs the others in its run difficulty counts why
Aider code editing (133 Exercism … 39.1% ▁·▁▂●▁▆▄█▆▂▂ beats 11/62 medium · avg 51% 27% sharp · at its level
HumanEval (maker) 84.1% ▄·▄···●··█·▄ beats 3/6 easy · avg 84% 20% sharp
HumanEval+ (maker) 80.5% ▄·▄····▄●·▄█ beats 3/6 easy · avg 80% 17% sharp
MBPP (maker) 73.6% █···█●█·██·█ beats 2/6 easy · avg 77% 10% typical
MultiPL-E (maker) 72.1% ▄·▄····▄●·▄█ beats 3/6 easy · avg 70% 8.2% at its level
MBPP+ (maker) 62.4% ▄····▄●·▄·█▄ beats 2/6 easy · avg 66% 7.3% at its level
CRUXEval-I (maker) 53.2% █·██·●··█·██ beats 3/6 medium · avg 56% 3.5% at its level
CRUXEval-O (maker) 56.0% ▄·█··●·▄··▄▄ beats 3/6 medium · avg 54% 1.3% blunt · at its level
other tests (1)
test result vs the others in its run difficulty counts why
BigCodeBench (Instruct) (maker) 35.8% ▄······▄●█·█ beats 2/6 medium · avg 37% 4.5% at its level
source results share of the score
Qwen (submitted / maker-reported) 8 72% ▇▇▇▇▇▇▇▇▇
Aider code editing benchmark runs 1 27% ▇▇▇
prior: pull toward the middle 1% ▇
weighted average = 48.6
Licences: Aider code editing benchmark runs ([Apache-2.0](../../licenses/aider-polyglot-runs-Apache-2.0.txt))
## How to run it
### llama.cpp (recommended)
1. Install llama.cpp. Homebrew and winget installs name the commands llama-cli and llama-server instead. [Other ways to install](https://github.com/ggml-org/llama.cpp/blob/master/docs/install.md)
```sh
# macOS / Linux
curl -LsSf https://llama.app/install.sh | sh
# Windows
irm https://llama.app/install.ps1 | iex
```
2. Run Qwen2.5 Coder 3B Instruct (Q4_K_M, needs ~2.1 GB, from [huggingface.co/Qwen](https://huggingface.co/Qwen/Qwen2.5-Coder-3B-Instruct-GGUF/tree/f74adce6aa16316c625447af059dbebe4983757c))
```sh
llama cli -hf Qwen/Qwen2.5-Coder-3B-Instruct-GGUF:Q4_K_M
```
3. Or start a local server and open the address it prints (http://localhost:9931)
```sh
llama serve -hf Qwen/Qwen2.5-Coder-3B-Instruct-GGUF:Q4_K_M
```
### LM Studio
1. Install LM Studio. Open the app once before using the lms command. [Download it (macOS / Windows / Linux)](https://lmstudio.ai/download)
2. Run Qwen2.5 Coder 3B Instruct (Q4_K_M, needs ~2.1 GB, from [huggingface.co/Qwen](https://huggingface.co/Qwen/Qwen2.5-Coder-3B-Instruct-GGUF/tree/f74adce6aa16316c625447af059dbebe4983757c))
```sh
lms get https://huggingface.co/Qwen/Qwen2.5-Coder-3B-Instruct-GGUF@Q4_K_M -y
```
3. Then run lms ls to see its name, and lms chat followed by that name
Other versions: 4bit (~1.7 GB, Mac only) `lms get https://huggingface.co/lmstudio-community/Qwen2.5-Coder-3B-Instruct-MLX-4bit -y` · 8bit (~3.3 GB, Mac only) `lms get https://huggingface.co/lmstudio-community/Qwen2.5-Coder-3B-Instruct-MLX-8bit -y`
### Ollama
1. Install Ollama. [Download it (macOS / Windows)](https://ollama.com/download)
```sh
# Linux
curl -fsSL https://ollama.com/install.sh | sh
```
2. Run Qwen2.5 Coder 3B Instruct (Q4_K_M, needs ~1.9 GB, from [ollama.com](https://ollama.com/library/qwen2.5-coder/tags))
```sh
ollama run qwen2.5-coder:3b
```
### MLX (Mac)
1. Install MLX (Mac). Apple silicon Macs only, text only.
```sh
# with uv
uv tool install mlx-lm
# or
pip install mlx-lm
```
2. Run Qwen2.5 Coder 3B Instruct (4bit, needs ~1.7 GB, Mac only, from [huggingface.co/lmstudio-community](https://huggingface.co/lmstudio-community/Qwen2.5-Coder-3B-Instruct-MLX-4bit/tree/1466650d4af1e954eee2cc26174c7c2f4fbf4b9b))
```sh
mlx_lm.chat --model lmstudio-community/Qwen2.5-Coder-3B-Instruct-MLX-4bit
```
3. Or start an OpenAI-compatible server at http://localhost:8080/v1
```sh
mlx_lm.server --model lmstudio-community/Qwen2.5-Coder-3B-Instruct-MLX-4bit
```
Other versions: 8bit (~3.3 GB, Mac only) `mlx_lm.chat --model lmstudio-community/Qwen2.5-Coder-3B-Instruct-MLX-8bit`
Model repository and documentation: [huggingface.co/Qwen](https://huggingface.co/Qwen/Qwen2.5-Coder-3B-Instruct)
## Published speed measurements
Reference results for the hardware, engine and settings below. These are not verified speeds of the downloads above or predictions for your machine.
hardware precision speed engine and settings
Intel Raptor Lake-P [Iris X… q4_k_m 9.52 tok/s ollama (version not recorded) · l…
Each speed links to its source, which has the full settings.
[interactive version](https://whatmodel.sh/model/qwen2-5-coder-3b) · [JSON](https://whatmodel.sh/api?format=json&all=1)